Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution
Solar and wind are considered the type of renewable energy source that can power a clean energy revolution especially for the upstream process of the Green Hydrogen Supply Chain (GHSC). The GHSC, in particular, is concerned with the electrolysis technique, in which water and electricity from renewab...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/10/e3sconf_ri2c2025_01001.pdf |
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| author | Ransikarbum Kasin Aydın Nezir Janmontree Jettarat Zadek Hartmut |
| author_facet | Ransikarbum Kasin Aydın Nezir Janmontree Jettarat Zadek Hartmut |
| author_sort | Ransikarbum Kasin |
| collection | DOAJ |
| description | Solar and wind are considered the type of renewable energy source that can power a clean energy revolution especially for the upstream process of the Green Hydrogen Supply Chain (GHSC). The GHSC, in particular, is concerned with the electrolysis technique, in which water and electricity from renewable energy sources like solar and wind are used. In this study, our aim is to assess the strategic location of solar and wind farm area under diverse criteria using a case study in Thailand. In particular, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, in which criteria data for air temperature, terrain elevation, direct normal irradiation, photovoltaic power, wind speed, and power density relevant to solar and wind efficiency are collected. The TOPSIS technique is used to evaluate alternatives from the district areas using a case study at Ubonratchathani, Thailand. Our results suggest the ranking list for potential district areas to investigate further for projects involving renewable energy investment connected to the GHSC. The obtained results will be further used as input data for our ongoing work on the model and analysis of the GHSC network. |
| format | Article |
| id | doaj-art-10f6601ece944a06a4d0336460aabe3e |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-10f6601ece944a06a4d0336460aabe3e2025-02-05T10:50:19ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016100100110.1051/e3sconf/202561001001e3sconf_ri2c2025_01001Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solutionRansikarbum Kasin0Aydın Nezir1Janmontree Jettarat2Zadek Hartmut3Industrial Engineering, Ubonratchathani UniversityCollege of Science and Engineering, Hamad Bin Khalifa UniversityInstitute of Logistics and Material Handling Systems, Otto-von-Guericke UniversityInstitute of Logistics and Material Handling Systems, Otto-von-Guericke UniversitySolar and wind are considered the type of renewable energy source that can power a clean energy revolution especially for the upstream process of the Green Hydrogen Supply Chain (GHSC). The GHSC, in particular, is concerned with the electrolysis technique, in which water and electricity from renewable energy sources like solar and wind are used. In this study, our aim is to assess the strategic location of solar and wind farm area under diverse criteria using a case study in Thailand. In particular, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, in which criteria data for air temperature, terrain elevation, direct normal irradiation, photovoltaic power, wind speed, and power density relevant to solar and wind efficiency are collected. The TOPSIS technique is used to evaluate alternatives from the district areas using a case study at Ubonratchathani, Thailand. Our results suggest the ranking list for potential district areas to investigate further for projects involving renewable energy investment connected to the GHSC. The obtained results will be further used as input data for our ongoing work on the model and analysis of the GHSC network.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/10/e3sconf_ri2c2025_01001.pdf |
| spellingShingle | Ransikarbum Kasin Aydın Nezir Janmontree Jettarat Zadek Hartmut Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution E3S Web of Conferences |
| title | Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| title_full | Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| title_fullStr | Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| title_full_unstemmed | Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| title_short | Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| title_sort | analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/10/e3sconf_ri2c2025_01001.pdf |
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